Principle hessian direction based parameter reduction with process variation

Alex Mitev, Michael Mahmoud Marefat, Dongsheng Ma, Meiling Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations

Abstract

As CMOS technology enters the nanometer regime, the increasing process variation is bringing manifest impact on circuit performance. In this paper, we propose a Principle Hessian Direction (PHD) based parameter reduction approach. This new approach relies on the impact of each parameter on circuit performance to decide whether keeping or reducing the parameter. Compared with the existing principle component analysis (PCA) method, this performance based property provides us a significantly smaller set of parameters after reduction. The experimental results also support our conclusions. In all cases, an average of 53% of reduction is observed with less than 3% error in the mean value and less than 8% error in the variation.

Original languageEnglish (US)
Title of host publicationIEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD
Pages632-637
Number of pages6
DOIs
Publication statusPublished - 2007
Event2007 IEEE/ACM International Conference on Computer-Aided Design, ICCAD - San Jose, CA, United States
Duration: Nov 4 2007Nov 8 2007

Other

Other2007 IEEE/ACM International Conference on Computer-Aided Design, ICCAD
CountryUnited States
CitySan Jose, CA
Period11/4/0711/8/07

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Mitev, A., Marefat, M. M., Ma, D., & Wang, M. (2007). Principle hessian direction based parameter reduction with process variation. In IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD (pp. 632-637). [4397336] https://doi.org/10.1109/ICCAD.2007.4397336